8月12日下午，华为正式发布AI推理"黑科技"UCM（推理记忆数据管理器），助力解决AI推理效率与用 户体验的难题。 AI推理是AI产业在下一阶段的发展重心。AI产业已从"追求模型能力极限"转向"追求推理体验最优化"， 推理体验直接关联用户满意度、商业可行性等核心需求，成为衡量AI模型价值的黄金标尺。 KV Cache是一种用于优化计算效率、减少重复运算的关键技术，但是需要占用GPU（图形处理器）的 显存存储历史KV（键值）向量，生成的文本越长，缓存的数据量越大。 来源：中国基金报记者拍摄 来源：中国基金报记者拍摄 随着AI产业的发展迈入代理式人工智能时代，模型规模化扩张、长序列需求激增，以及推理任务并发 量增长，导致AI推理的KV Cache容量增长，超出了显存的承载能力。 目前，国外领先芯片厂商通过从硬件迭代到软件优化，再到生态绑定，构建起AI推理时代的"铁三角"， 短期内难以被代替。中国企业在单点硬件技术上有所突破，但国产软件及生态适配仍有较大差距。 随着信息技术应用创新产业的国产化改造提速，各行业逐步意识到需要加速构建国产推理生态。UCM 的核心价值在于提供更快的推理响应、更长的推理序列等。 以提供更 ...

Core Insights - Huawei has officially launched its AI inference technology UCM (Unified Cache Manager), aimed at addressing challenges in AI inference efficiency and user experience [1] - The AI industry is shifting focus from maximizing model capabilities to optimizing inference experiences, which directly impacts user satisfaction and commercial viability [1] Group 1: UCM Technology Overview - UCM is a KV Cache-centered inference acceleration suite that integrates various caching algorithms to manage KV Cache memory data during inference, enhancing throughput and reducing latency [2] - The growth of AI inference demands has led to an increase in KV Cache capacity, which has exceeded GPU memory limits, necessitating innovative solutions like UCM [2][3] - UCM's core value lies in providing faster inference responses and longer inference sequences, addressing the limitations of current AI models [2] Group 2: Performance Improvements - UCM enables dynamic KV unloading and position encoding expansion, achieving a tenfold increase in inference context window [3] - The technology allows for on-demand data flow across different storage media (HBM, DRAM, SSD), improving TPS (tokens per second) by 2 to 22 times, thereby reducing the cost per token [4] - Current mainstream AI models in China output tokens at a significantly lower speed compared to their international counterparts, highlighting the need for UCM's capabilities [4] Group 3: Practical Applications - Huawei's AI inference acceleration solution, in collaboration with China UnionPay, is being piloted in three business scenarios: customer voice, marketing planning, and office assistant [5] - The office assistant application can support user inputs exceeding 170,000 tokens, overcoming challenges associated with long sequence models [5]